The Research of Remote Sensing Image Fusion Technology

Bin Wang; Chao Wang

doi:10.4028/www.scientific.net/AMM.513-517.3237

Paper Titles

Modeling and Analysis for Optimization Mode of City Bus Operator Scheduling Management
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Optimization Mechanism Modeling for Emergency Evacuation in Group Incidents
p.3224

The Spatial-Temporal Change Pattern of Wetland in the Middle-Lower Yangtze River: A Case Study of Wuhu, Anhui
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Analysis for the Impacts of Large Logistics Industry Intelligent Monitoring
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The Research of Remote Sensing Image Fusion Technology
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The Development of Virtual Experiment Platform for Signal Analysis and Processing Based on LabVIEW
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Numerical Simulation of Heavy Rail End Induction Heating Temperature Field
p.3245

The Research on Online Measurement System of Stone Slab Based on Improved Sobel Operator
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The Establishment and Simulation of a Limited Floating Body Motion Model under High Sea Condition and Replenishment
p.3253

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 513-517The Research of Remote Sensing Image Fusion...

The Research of Remote Sensing Image Fusion Technology

Abstract:

Remote sensing image fusion is an important branch in the field of image fusion. Remote sensing image fusion mainly researches how to use different aerial remote sensor to obtain relevant image information. In view of the present research status in this field and the full analysis of remote sensing image fusion method and wavelet transform, the paper aims at proposing the image fusion technology of combining discrete multiwavelet transform and HIS method, then the paper analyses the experimental results with the help of MATLAB. It is proved that the analysis method of wavelet has more advantages than traditional methods: Wavelet transform fusion method can keep maximized resolution and multispectral image.

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Periodical:

Applied Mechanics and Materials (Volumes 513-517)

Pages:

3237-3240

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.513-517.3237

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Online since:

February 2014

Authors:

Bin Wang, Chao Wang*

Keywords:

Fusion, Remote Sensing, Transform, Wavelet

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* - Corresponding Author

References

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